Keeping Governments Accountable with Open Data Science: Extracting and Analyz...odsc
Open data is enabling journalists, watchdog groups and investors to gain more insight than ever before into the finances of state and local governments. Unfortunately, much of it remains trapped inside bulky PDFs, lagging annual reports and other data-rich documents that are challenging to collect and analyze. At this session, ProPublica finance reporter Cezary Podkul will walk through an example of the obstacles he faced analyzing bond documents for a series of stories he did on municipal borrowing. The second half of the session will feature Sunlight Foundation OpenGov grant recipient Marc Joffe, who will discuss opportunities for liberating municipal finance data for journalists, watchdogs and investors alike.
With the use of SQL Server and SSAS, performed analysis for Road Accidents in the United Kingdom, to study how different road condition, road surface, Potholes, weather condition, light situation are going to affect on driving skills and leads to accidents. In this Study R programming used to Clean Database and SQL server and SSAS to Create ETL Cube to generate reports flexibly.
Keeping Governments Accountable with Open Data Science: Extracting and Analyz...odsc
Open data is enabling journalists, watchdog groups and investors to gain more insight than ever before into the finances of state and local governments. Unfortunately, much of it remains trapped inside bulky PDFs, lagging annual reports and other data-rich documents that are challenging to collect and analyze. At this session, ProPublica finance reporter Cezary Podkul will walk through an example of the obstacles he faced analyzing bond documents for a series of stories he did on municipal borrowing. The second half of the session will feature Sunlight Foundation OpenGov grant recipient Marc Joffe, who will discuss opportunities for liberating municipal finance data for journalists, watchdogs and investors alike.
With the use of SQL Server and SSAS, performed analysis for Road Accidents in the United Kingdom, to study how different road condition, road surface, Potholes, weather condition, light situation are going to affect on driving skills and leads to accidents. In this Study R programming used to Clean Database and SQL server and SSAS to Create ETL Cube to generate reports flexibly.
Aventura Neighborhood Real Estate Report with Statistics 2-19. Jorge J Gomez,...Jorge J Gomez
Aventura Neighborhood Real Estate Report with statistics. Know what is happening in the Aventura market today, February 2019. Ready to buy? Looking to sell? Contact me today. Jorge J Gomez 305.747.5580.
The name of my resource is called, American Factfinder (factfinder.census.gov). American Factfinder is a free, easy and open access reference guide to use. American Factfinder is a "How Many Facts Online?" reference guide based on statistical information on cities, states, towns, counties,etc. The audience is for grade levels 8th through 12th who are just learning how to research and evaluate online resources for school projects based on statistical research. Adults can use this reference guide as well.
Chapter 2 Minitab Express You are asked to analyze the da.docxwalterl4
Chapter 2 Minitab Express
You are asked to analyze the data to see how income, the number of active primary care physicians and crime
vary by region of the state. Let’s locate these variables in the dataset:
x Income: there are 2 income variables: C40 Mean Household Income, C41 Median Household Income
x Number of Active Primary Care Physicians: located in C10
x Crime: there are 3 crime variables: C22 Violent Crime, C23 Criminal Cases Superior Court, C24 Crime
Index
x Region of the state: located in C37
You should read the description of each variable so you understand what data being summarized (look in
Course Resources for the County Data Set Definitions File). You will select one income variable and one crime
variable to include in your report along with the active primary care physicians variable.
To analyze the data, you will summarize each variable by region of the state. You will use the Minitab Express
commands: Statistics, Describe, Descriptive Statistics.
In the next window, you’ll select the variable to summarize (income, primary care physicians or crime). I will
use C12 social security beneficiaries. You will also select the Region variable in the Group variable window.
You will need to use this option separately for each variable in order to use the Group variable option.
You can also select the statistics that you want to display. For this assignment, select Mean, Minimum,
Maximum, N nonmissing, N missing. You can also select a Display.
Here is my output:
What do I see in the results? First I notice that the number of counties in each region varies from 21
(mountain) to 49 (coast). For Social security beneficiaries, I see that the plain counties have the highest mean
and highest maximum, mountain counties have the lowest mean. It is interesting to note that although the
coast counties do not have the lowest mean, these counties do have the lowest minimum.
NETRUSH
Background & History
Product list/Marketing/Advertising/Market Share
Financials:
Private Company
Netrush is listed as a private company since their company launch.
In 2016, they has a very successful year for sales, coming in at an estimated 2.79 million.
In 2017, they has a slump in their sales, coming in at an estimated 1.29 million.
In 2018, they had no growth. Their sales for 2018 stayed at an estimated 1.29 million.
Competitors:
“Trend Nation is an e-commerce multi channel retailer that develops,
manufactures, markets and sell unique products to customers”
“We’ll elevate your brand’s ecommerce success and drive rapid
revenue growth on Amazon, Walmart, eBay, and beyond”
Trend Nation and etailz are Rushnation’s biggest competitors. Just like Rushnation, these two companies are focused and experts on e-commerce and focus on selling on amazon and other online platforms.
SWOT Analysis
Innovation & Technology / Philanthropy
.
This is a presentation from June 29, 2010 to the IAWP consference held in Greenville, SC by Gary Crossley, LovetoWork.org, LLC about Labor Market Information.
DWBI - Criminalytics: Entities affecting the Rate of Crime in Republic of IrelandShrikant Samarth
Task: To develop a data warehouse from multiple structured and unstructured sources of data and implement a minimum of three non-trivial business intelligence queries on the data warehouse with the help of visualizations.
Approach: Created Data warehousing project for Data Warehousing and Business Intelligence module based on entities affecting the rate of crime in the Republic of Ireland. Created Data warehouse and build automated cube to fetch proper data periodically. Used R programming language to clean data, to store data used SQL Server as Database, SSAS for creating Data Cube so the user gets a proper insight of various accident conditions, also used Tableau for various Reports.
Tools: RStudio, SQLServer, SSIS, SSAS, Tableau
VIDEO Description: https://www.youtube.com/watch?v=uRdyZQja66M&t=134s
(INSTRUCTIONS) Your submission should be a minimum of 2000 words (m.docxmadlynplamondon
(INSTRUCTIONS): Your submission should be a minimum of 2000 words (maximum 2500 words) in length and should completely answer the proposed questions as listed under “Define the community." You should have a minimum of three (3) references. MY COMMUNITY is miami, florida
Overview
In this module, you will finalize the completion of the full assessment of your own community.
Defining the Community
Your community should be within a specifically designated geographic location.
One must clearly delineate the following dimensions before starting the process of community assessment:
• Describe the population that is being assessed?
• What is/are the race(s) of this population within the community?
• Are there boundaries of this group? If so, what are they?
• Does this community exist within a certain city or county?
• Are there general characteristics that separate this group from others?
• Education levels, birth/death rates, age of deaths, insured/uninsured?
• Where is this group located geographically…? Urban/rural?
• Why is a community assessment being performed? What purpose will it serve?
• How will information for the community assessment be collected?
Assessment
After the community has been defined, the next phase is assessment. The following items describe several resources and methods that can be used to gather and generate data. These items serve as a starting point for data collection. This is not an all-inclusive list of resources and methods that may be used when a community assessment is conducted.
The time frame for completion of the assessment may influence which methods are used. Nonetheless, these items should be reviewed to determine what information will be useful to collect about the community that is being assessed. It is not necessary to use all of these resources and methods; however, use of a variety of methods is helpful when one is exploring the needs of a community.
Data Gathering
(collecting information that already exists)
Demographics of the Community
When demographic data are collected, it is useful to collect data from a variety of levels so comparisons can be made.
If the population that is being assessed is located within a specific setting, it may be best to contact that agency to retrieve specific information about that population.
The following resources provide a broad overview of the demographics of a city, county, or state:
American Fact Finder
—Find population, housing, and economic and geographic data for your city based on U.S. Census data
State and County Quick Facts
—Easy access to facts about people, business, and geography, based on U.S. Census data
Obtain information about a specific city or county on these useful websites:
www.epodunk.com
and
www.city-data.com
Information from Government Agencies
Healthy People 2020
—this resource is published by the U.S. Department of Health and Human Services. It identifies health improvement goals and objectives for the .
INIA- CISA: Análisis de las amenazas en la fauna silvestreEsri
El Centro de Investigación en Sanidad Animal del Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria utiliza la tecnología SIG para una mejor comprensión de las amenazas a las especies silvestres y su asociación con las actividades humanas
Aventura Neighborhood Real Estate Report with Statistics 2-19. Jorge J Gomez,...Jorge J Gomez
Aventura Neighborhood Real Estate Report with statistics. Know what is happening in the Aventura market today, February 2019. Ready to buy? Looking to sell? Contact me today. Jorge J Gomez 305.747.5580.
The name of my resource is called, American Factfinder (factfinder.census.gov). American Factfinder is a free, easy and open access reference guide to use. American Factfinder is a "How Many Facts Online?" reference guide based on statistical information on cities, states, towns, counties,etc. The audience is for grade levels 8th through 12th who are just learning how to research and evaluate online resources for school projects based on statistical research. Adults can use this reference guide as well.
Chapter 2 Minitab Express You are asked to analyze the da.docxwalterl4
Chapter 2 Minitab Express
You are asked to analyze the data to see how income, the number of active primary care physicians and crime
vary by region of the state. Let’s locate these variables in the dataset:
x Income: there are 2 income variables: C40 Mean Household Income, C41 Median Household Income
x Number of Active Primary Care Physicians: located in C10
x Crime: there are 3 crime variables: C22 Violent Crime, C23 Criminal Cases Superior Court, C24 Crime
Index
x Region of the state: located in C37
You should read the description of each variable so you understand what data being summarized (look in
Course Resources for the County Data Set Definitions File). You will select one income variable and one crime
variable to include in your report along with the active primary care physicians variable.
To analyze the data, you will summarize each variable by region of the state. You will use the Minitab Express
commands: Statistics, Describe, Descriptive Statistics.
In the next window, you’ll select the variable to summarize (income, primary care physicians or crime). I will
use C12 social security beneficiaries. You will also select the Region variable in the Group variable window.
You will need to use this option separately for each variable in order to use the Group variable option.
You can also select the statistics that you want to display. For this assignment, select Mean, Minimum,
Maximum, N nonmissing, N missing. You can also select a Display.
Here is my output:
What do I see in the results? First I notice that the number of counties in each region varies from 21
(mountain) to 49 (coast). For Social security beneficiaries, I see that the plain counties have the highest mean
and highest maximum, mountain counties have the lowest mean. It is interesting to note that although the
coast counties do not have the lowest mean, these counties do have the lowest minimum.
NETRUSH
Background & History
Product list/Marketing/Advertising/Market Share
Financials:
Private Company
Netrush is listed as a private company since their company launch.
In 2016, they has a very successful year for sales, coming in at an estimated 2.79 million.
In 2017, they has a slump in their sales, coming in at an estimated 1.29 million.
In 2018, they had no growth. Their sales for 2018 stayed at an estimated 1.29 million.
Competitors:
“Trend Nation is an e-commerce multi channel retailer that develops,
manufactures, markets and sell unique products to customers”
“We’ll elevate your brand’s ecommerce success and drive rapid
revenue growth on Amazon, Walmart, eBay, and beyond”
Trend Nation and etailz are Rushnation’s biggest competitors. Just like Rushnation, these two companies are focused and experts on e-commerce and focus on selling on amazon and other online platforms.
SWOT Analysis
Innovation & Technology / Philanthropy
.
This is a presentation from June 29, 2010 to the IAWP consference held in Greenville, SC by Gary Crossley, LovetoWork.org, LLC about Labor Market Information.
DWBI - Criminalytics: Entities affecting the Rate of Crime in Republic of IrelandShrikant Samarth
Task: To develop a data warehouse from multiple structured and unstructured sources of data and implement a minimum of three non-trivial business intelligence queries on the data warehouse with the help of visualizations.
Approach: Created Data warehousing project for Data Warehousing and Business Intelligence module based on entities affecting the rate of crime in the Republic of Ireland. Created Data warehouse and build automated cube to fetch proper data periodically. Used R programming language to clean data, to store data used SQL Server as Database, SSAS for creating Data Cube so the user gets a proper insight of various accident conditions, also used Tableau for various Reports.
Tools: RStudio, SQLServer, SSIS, SSAS, Tableau
VIDEO Description: https://www.youtube.com/watch?v=uRdyZQja66M&t=134s
(INSTRUCTIONS) Your submission should be a minimum of 2000 words (m.docxmadlynplamondon
(INSTRUCTIONS): Your submission should be a minimum of 2000 words (maximum 2500 words) in length and should completely answer the proposed questions as listed under “Define the community." You should have a minimum of three (3) references. MY COMMUNITY is miami, florida
Overview
In this module, you will finalize the completion of the full assessment of your own community.
Defining the Community
Your community should be within a specifically designated geographic location.
One must clearly delineate the following dimensions before starting the process of community assessment:
• Describe the population that is being assessed?
• What is/are the race(s) of this population within the community?
• Are there boundaries of this group? If so, what are they?
• Does this community exist within a certain city or county?
• Are there general characteristics that separate this group from others?
• Education levels, birth/death rates, age of deaths, insured/uninsured?
• Where is this group located geographically…? Urban/rural?
• Why is a community assessment being performed? What purpose will it serve?
• How will information for the community assessment be collected?
Assessment
After the community has been defined, the next phase is assessment. The following items describe several resources and methods that can be used to gather and generate data. These items serve as a starting point for data collection. This is not an all-inclusive list of resources and methods that may be used when a community assessment is conducted.
The time frame for completion of the assessment may influence which methods are used. Nonetheless, these items should be reviewed to determine what information will be useful to collect about the community that is being assessed. It is not necessary to use all of these resources and methods; however, use of a variety of methods is helpful when one is exploring the needs of a community.
Data Gathering
(collecting information that already exists)
Demographics of the Community
When demographic data are collected, it is useful to collect data from a variety of levels so comparisons can be made.
If the population that is being assessed is located within a specific setting, it may be best to contact that agency to retrieve specific information about that population.
The following resources provide a broad overview of the demographics of a city, county, or state:
American Fact Finder
—Find population, housing, and economic and geographic data for your city based on U.S. Census data
State and County Quick Facts
—Easy access to facts about people, business, and geography, based on U.S. Census data
Obtain information about a specific city or county on these useful websites:
www.epodunk.com
and
www.city-data.com
Information from Government Agencies
Healthy People 2020
—this resource is published by the U.S. Department of Health and Human Services. It identifies health improvement goals and objectives for the .
INIA- CISA: Análisis de las amenazas en la fauna silvestreEsri
El Centro de Investigación en Sanidad Animal del Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria utiliza la tecnología SIG para una mejor comprensión de las amenazas a las especies silvestres y su asociación con las actividades humanas
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Esri US Data Fact Sheet
1. Fact Sheet
Esri
®
US Data
Database Name Source Vintage Description Updated
Updated Demographics Esri 2014/2019 Esri offers current-year updates and five-year projections of population,
age by sex, race and Hispanic origin, households and families, tenure,
home value, household income, household income by age of householder,
per capita income, current-year employed population by occupation and
industry, current-year marital status, current-year educational attainment,
current-year age by sex and race, current-year disposable income, current-
year net worth, and more.
Annually
Census Data Esri and US
Census Bureau
2010 & 2000 Esri provides census data for geographies not supplied by the Census
Bureau including ZIP codes, DMAs, rings, drive times, and hand-drawn
areas. Esri also provides data for states, counties, tracts, block groups,
places, CBSAs, congressional districts, and county subdivisions.
Decennially
American Community
Survey (ACS)
US Census
Bureau
2008–2012 Esri provides ACS data for poverty status, education, labor force, journey
to work, marital status, languages spoken, ancestry, and home value. To
increase understanding of the data, Esri developed a system of reliability
symbols that indicates the accuracy of each estimate. Esri also provides the
ACS data for geographies not supplied by the Census Bureau such as ZIP
codes, rings, drive times, and hand-drawn areas.
Annually
Tapestry™
Segmentation Esri 2014 Tapestry Segmentation provides an accurate, detailed description of
America’s neighborhoods. US residential areas are divided into 67 distinctive
segments based on their socioeconomic and demographic composition.
Annually
Retail MarketPlace Esri 2013 This database includes retail sales by industry to households and retail
potential or spending by households. The database provides a direct
comparison between retail sales and consumer spending by industry and
measures the gap between supply and demand.
Annually
Business Locations Esri and Dun &
Bradstreet (D&B)
2014 Esri’s business locations data is extracted from a comprehensive list of
businesses licensed from D&B. The business list contains data for more
than 18 million US businesses including name and location, industrial
classification code, number of employees, and sales.
Quarterly
Business Summary Esri and D&B 2014 This geographic database summarizes the comprehensive list of
businesses from D&B for select NAICS and SIC summary categories and
includes total number of businesses, sales, and employees for a trade area.
Annually
Consumer Spending Esri and Bureau
of Labor
Statistics
2013 This comprehensive database, developed by Esri, is based on a
combination of the latest Consumer Expenditure Surveys (CEX) from the
Bureau of Labor Statistics. Data is reported by product or service and
includes total expenditures, average spending per household, and a
Spending Potential Index (SPI).
Annually
Market Potential Esri and
GfK MRI
2013 The Market Potential database includes data representing goods, services,
attitudes, and activities and is collected from the GfK MRI consumer
survey. The database provides the expected number of consumers and a
Market Potential Index (MPI).
Annually
Traffic Counts Market
Planning
Solutions Inc.
(MPSI)
2014 Esri’s traffic count data comes from MPSI/DataMetrix and provides the
most current and extensive US traffic data for trade analysis, routing, or
mathematical modeling.
Quarterly
Major Shopping Centers Directory of
Major Malls, Inc.
(DMM)
2014 The Major Shopping Centers data from the DMM database includes
information about shopping centers with a gross leasable area (GLA) of
250,000 square feet or more.
Semiannually
Continued on next page